Professor at Anhui University, China
Xiao Wang, a Senior Member of IEEE, is a distinguished researcher and educator specializing in intelligent transportation and cognitive computing. She has made remarkable contributions through her leadership in the development of advanced technologies for autonomous systems. With her work cited extensively (h-index: 33) and recognition as one of the “Top 2% of the World’s Most Influential Scientists” for two consecutive years, Prof. Wang combines technical expertise and academic excellence. Her dedication to innovation continues to shape the future of intelligent transportation systems and autonomous vehicle technologies. 🌟📚🤖
Publication Profile :
Scopus
Education 🎓
Xiao Wang earned her B.E. degree in Network Engineering from Dalian University of Technology in 2011. She later pursued advanced studies in Social Computing, obtaining both her M.E. and Ph.D. degrees from the University of Chinese Academy of Sciences in 2016.
Professional Experience💼
Prof. Xiao Wang is currently a Professor at the School of Artificial Intelligence, Anhui University, and serves as the Director of the Anhui Province Engineering Research Center for Unmanned Systems and Intelligent Technology. She has spearheaded over ten research and industry projects focusing on areas such as autonomous driving, multimodal data fusion, and traffic accident prediction, collaborating with leading institutions and companies. With a prolific academic career, Prof. Wang has published more than 40 high-impact SCI papers in the past five years and holds 22 granted invention patents. Her editorial roles include Associate Editor of the IEEE Intelligent Vehicles Symposium, Column Editor of IEEE Intelligent Systems Magazine, and other notable journal appointments. She is a Senior Member of IEEE, CAA, and a Board Member of the IEEE Intelligent Transportation Systems Society. 🌐📊🚗
Research Interests 🔬
Prof. Wang’s research interests span social computing, autonomous driving, group behavior modeling, knowledge automation, parallel intelligence, and DAO-based computational social systems.
Publications Top Notes 📚
- Wang, X., Wang, Y., Yang, J., …, Ding, W., Wang, F.-Y. (2024). “The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0.” Information Fusion, 107, 102321.
- Wang, X., Huang, J., Ni, Q., …, Stapleton, L., Wang, F.-Y. (2024). “Society 5.0: Metaverse Facilitated Human-centric 5H Services Across Cyber-Physical-Social Spaces.” IFAC-PapersOnLine, 58(3), 159–164.
- Wang, X., Huang, J., Yang, J., Wang, X., Wang, F.-Y. (2024). “Prescriptive Manufacturing in Society 5.0: Human Autonomous Organizations and on-Demand Smart Services.” IFAC-PapersOnLine, 58(3), 139–144.
- Cao, Y., Wang, Y., Wang, J., …, Wang, X., Wang, F.-Y. (2024). “Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems.” IEEE Transactions on Computational Social Systems, 11(3), 3978–3987.
- Xue, X., Yu, X., Zhou, D., …, Wang, S., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems: Integrated Design of Experiment System.” IEEE/CAA Journal of Automatica Sinica, 11(5), 1175–1189.
- Liang, X., Ding, W., Qin, R., …, Wang, X., Wang, F.-Y. (2024). “From cadCAD to casCAD2: A Mechanism Validation and Verification System for Decentralized Autonomous Organizations Based on Parallel Intelligence.” IEEE Transactions on Computational Social Systems, 11(2), 2853–2862.
- Xue, X., Yu, X., Zhou, D., …, Liu, D., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems – Part III: The Docking of Domain Models.” IEEE Transactions on Computational Social Systems, 11(2), 1766–1780.
- Wang, X., Zhang, X.-Y., Zhou, R., …, Chen, L., Sun, C.-Y. (2024). “An Intelligent Architecture for Cognitive Autonomous Driving Based on Parallel Testing.” Zidonghua Xuebao/Acta Automatica Sinica, 50(2), 356–371.
- Wang, X., Tang, K., Dai, X., …, Wang, Y., Gu, W. (2024). “S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.” IEEE Transactions on Intelligent Vehicles, 9(2), 3220–3231.
- Tian, Y., Zhang, X., Wang, X., …, Gu, W., Ding, W. (2024). “ACF-Net: Asymmetric Cascade Fusion for 3D Detection with LiDAR Point Clouds and Images.” IEEE Transactions on Intelligent Vehicles, 9(2), 3360–3371.